Evidence map›Paper›PMID 38250145›Full record

ReviewDigital health

Barriers and facilitators of health professionals in adopting digital health-related tools for medication appropriateness: A systematic review.

Daniela A Rodrigues, Maria Roque, Ramona Mateos-Campos, Adolfo Figueiras, Maria Teresa Herdeiro, Fátima Roque

Open access · goldAbstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
28.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Continuous glucose monitoring in type 2 diabetes: a systematic review of barriers and opportunities for care improvement.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
    Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Daniela A RodriguesResearch Laboratory on Epidemiology and Population Health, Polytechnic of Guarda (IPG), Guarda, Portugal.ORCID https://orcid.org/0000-0002-4708-8965
Maria RoqueHospital de Santa Maria, Lisbon, Portugal.
Ramona Mateos-CamposArea of Preventive Medicine and Public Health, Department of Biomedical and Diagnostic Sciences, University of Salamanca, Salamanca, Spain.
Adolfo FigueirasDepartment of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain.
Maria Teresa HerdeiroDepartment of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal.
Fátima RoqueResearch Laboratory on Epidemiology and Population Health, Polytechnic of Guarda (IPG), Guarda, Portugal.ORCID https://orcid.org/0000-0003-0169-3788
University of Beira Interior · PTHospital de Santa Maria · PTUniversidad de Salamanca · ESUniversidade de Santiago de Compostela · ESUniversity of Aveiro · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Digital health is described as the use and development of all types of digital technologies to improve health outcomes. It could be used to prevent medication errors, a priority for health systems worldwide. However, the adoption of such tools remains slow. This study aims to identify factors (attitudes, knowledge and beliefs) acting as barriers and/or facilitators reported by healthcare professionals (HCPs) for the adoption of digital health-related tools for medication appropriateness. Methods: A systematic review was performed by searching the literature in the MEDLINE PubMed, and EMBASE scientific databases for original articles regarding qualitative and quantitative data. Results: Fifteen articles were included and a total of 125 barriers and 108 facilitators were identified, consolidated and categorized into technical (n = 48), organizational (n = 12), economical (n = 4), user-related (n = 34), and patient-related (n = 8) components. The most often reported barriers and facilitators were technical component-related ones concerning the need for additional training (n = 6), the time consumed (n = 6), and the easy way of using or learning how to use the tools (n = 9), respectively. Regarding setting analysis, agreement with clinical decision recommendations and impact on the doctor-patient relationship were more valued in primary care, while the user interface and system design were in the hospital. Conclusions: The barriers and facilitators identified in this study provide relevant information to developers and it can be used as a starting point for the designing of successful digital health-related tools, specifically related to medication appropriateness. Future research includes economic evaluation-focused studies and in-depth case studies of specific barriers and facilitators.

Indexed as

barriersdigital health toolsfacilitatorshealth professionalsmedication appropriatenessSystematic review

Identifiers

PMID38250145
PMCPMC10798074
OpenAlexW4390987359

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.